Frontal lobe contribution to response inhibition process—an ERP study and aging effect

2002 ◽  
Vol 1232 ◽  
pp. 17-20 ◽  
Author(s):  
Hirokazu Bokura ◽  
Shuhei Yamaguchi ◽  
Miwa Matsubara ◽  
Shotai Kobayashi
2015 ◽  
Vol 37 (1) ◽  
pp. 89-98 ◽  
Author(s):  
Rosalux Falquez ◽  
Ramona Dinu-Biringer ◽  
Malte Stopsack ◽  
Elisabeth A. Arens ◽  
Wolfgang Wick ◽  
...  

2005 ◽  
Vol 7 (3) ◽  
pp. 438-446 ◽  
Author(s):  
Carrie R. McDonald ◽  
Dean C. Delis ◽  
Marc A. Norman ◽  
Spencer R. Wetter ◽  
Evelyn S. Tecoma ◽  
...  

2005 ◽  
Vol 1278 ◽  
pp. 235-238
Author(s):  
Sumie Kumano ◽  
Yuichi Takei ◽  
Suguru Hattori ◽  
Toru Uehara ◽  
Masato Fukuda ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1722 ◽  
Author(s):  
Rupesh Kumar Chikara ◽  
Wei-Cheng Lo ◽  
Li-Wei Ko

Inhibitory control is a cognitive process that inhibits a response. It is used in everyday activities, such as driving a motorcycle, driving a car and playing a game. The effect of this process can be compared to the red traffic light in the real world. In this study, we investigated brain connectivity under human inhibitory control using the phase lag index and inter-trial coherence (ITC). The human brain connectivity gives a more accurate representation of the functional neural network. Results of electroencephalography (EEG), the data sets were generated from twelve healthy subjects during left and right hand inhibitions using the auditory stop-signal task, showed that the inter-trial coherence in delta (1–4 Hz) and theta (4–7 Hz) band powers increased over the frontal and temporal lobe of the brain. These EEG delta and theta band activities neural markers have been related to human inhibition in the frontal lobe. In addition, inter-trial coherence in the delta-theta and alpha (8–12 Hz) band powers increased at the occipital lobe through visual stimulation. Moreover, the highest brain connectivity was observed under inhibitory control in the frontal lobe between F3-F4 channels compared to temporal and occipital lobes. The greater EEG coherence and phase lag index in the frontal lobe is associated with the human response inhibition. These findings revealed new insights to understand the neural network of brain connectivity and underlying mechanisms during human response inhibition.


2015 ◽  
Vol 231 (3) ◽  
pp. 202-209 ◽  
Author(s):  
Conor Penfold ◽  
Nathalie Vizueta ◽  
Jennifer D. Townsend ◽  
Susan Y. Bookheimer ◽  
Lori L. Altshuler

2010 ◽  
Vol 22 (4) ◽  
pp. 714-727 ◽  
Author(s):  
Kentaro Yamanaka ◽  
Yoshiharu Yamamoto

Human voluntary response inhibition has frequently been investigated using go/no-go RT tasks. Recent studies have indicated that not only the traditional averaging waveforms of EEG activities (ERPs) but also the power and phase dynamics of single-trial EEG are important in studying the neural correlates of various human cognitive functions. Therefore, here, we aimed to undertake a detailed study of the time/frequency power and phase dynamics of single-trial EEG during go/no-go RT tasks, with focus particularly on the no-go-specific power and phase dynamics, which are presumed to involve the voluntary response inhibition processes. Thus, we demonstrated no-go-specific theta band EEG power increases and intertrial phase-locking in the midline-frontal areas, which are related to no-go-specific midline-frontal negative–positive ERP waveforms (no-go N2/no-go P3). In addition, we observed no-go-specific alpha band EEG intertrial phase-locking with an adjacent dephasing phenomenon, which is mainly associated with the early part of no-go N2. The estimated time point when the no-go-specific midline-frontal dephasing phenomenon occurred corresponded to the initial part of the voluntary response inhibition process (decision to withhold). Moreover, the no-go-specific phase dynamics in the midline-frontal areas just before and around the no-go N2 peak latency, unlike the power modulations, were affected by changes in the no-go stimulus probability, suggesting the dependence of only phase dynamics on no-go stimulus probability. From these results, we conclude that the complex power and phase dynamics of the theta and alpha band EEG in the midline-frontal areas are specific to no-go trials, being the underlying bases of the no-go-specific ERP waveforms, and suggest that the phase dynamics just before and around the no-go N2 peak latency may involve, at least, the initial part of the voluntary response inhibition process (decision to withhold).


2013 ◽  
Vol 74 (4) ◽  
pp. 296-304 ◽  
Author(s):  
Marisa M. Silveri ◽  
Jennifer T. Sneider ◽  
David J. Crowley ◽  
Michael J. Covell ◽  
Deepa Acharya ◽  
...  

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